Vehicle Image Recognition Using Map Feature Data
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Solution Overview
Problem
Conventional image recognition systems for vehicles struggle with accurately recognizing road features and targets, especially when image features are similar or under varying weather and brightness conditions, leading to reduced recognition accuracy.
Innovation Solution
An image recognition apparatus that captures image information and utilizes road feature information from map data to enhance recognition accuracy, by comparing candidate images with road feature information and adjusting recognition algorithms based on detected areas to improve target identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If only image information is used for recognition, then the recognition process is simple, but recognition accuracy significantly reduces when image features are similar or under varying weather conditions
Solution Approach 1:
The patent combines image information from the camera with road feature information from map data to perform recognition. The recognition unit integrates both data sources, comparing image features with pre-stored road feature information (such as boundary line positions, road shapes, and landmarks) to achieve accurate recognition even when image features alone are insufficient due to similar objects or varying weather conditions.
2Measurement precision
If road feature information from map data is integrated with image information, then recognition accuracy increases for difficult-to-distinguish targets, but system complexity increases
Solution Approach 1:
The patent pre-stores road feature information (boundary line positions, road shapes, landmarks) in map data before the recognition process. This preliminary preparation allows the recognition unit to quickly compare incoming image information with known road features, improving recognition accuracy without requiring complex real-time processing of map data during the recognition phase.
3Measurement precision
If road feature information is used to adjust recognition criteria, then accurate identification under challenging conditions is achieved, but processing time increases
Solution Approach 1:
The patent adjusts recognition criteria locally based on road feature information. The recognition unit uses pre-stored road features (such as expected boundary line positions and road shapes) to selectively apply different recognition thresholds and parameters to different regions of the image. This allows accurate identification under challenging conditions while avoiding uniform complex processing across the entire image, thereby reducing overall processing time.
Data Source
AI summary
An image recognition apparatus is capable of recognizing an image of an object of interest with high recognition accuracy even when the object is difficult to recognize only from image information acquired by an image pickup apparatus. The image recognition apparatus includes image information acquisition means for capturing image information of an image taken on a road, road feature information acquisition means for acquiring, from map information, road feature information C associated with a feature in the neighborhood of a position where the image information is taken, and image information recognition means for recognizing the image information using the road feature information C to recognize an image of an object to be recognized corresponding to the feature included in the image information.